亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

The Use of Phonological and Semantic Strategies in Written Word Learning Among Chinese Children With Dyslexia

正字法 心理学 发音 诵读困难 语言学 阅读(过程) 音韵学 普通话 认知心理学 单词识别 哲学
作者
Yixun Li,Hui Yi,Hong Li,Xiangping Liu
出处
期刊:Journal of Learning Disabilities [SAGE Publishing]
卷期号:55 (6): 482-498 被引量:2
标识
DOI:10.1177/00222194221077685
摘要

The present study investigated the phonological and semantic aspects of written word learning among children with dyslexia, taking into account their use of phonetic and semantic cues embedded in words. Fifty-three Mandarin-speaking fifth graders were taught the pronunciations and meanings of 24 Chinese single-character pseudowords (children with dyslexia: n = 27; age-matched peers: n = 26). The regularity of phonetic cues and the transparency of semantic cues embedded in the characters were experimentally manipulated. Children’s learning outcomes in orthography-to-pronunciation associations (learning the pronunciations of novel characters) and orthography-to-meaning associations (learning the meanings of novel characters) were examined separately. Results indicated that children with dyslexia performed more poorly than did their peers only in the learning stage of orthography-to-pronunciation learning. Otherwise, children with dyslexia demonstrated comparable performance in orthography-to-meaning learning, in the use of embedded pronunciation and meaning cues, and in retention of learning in comparison with their peers. Children applied phonetic and semantic cues jointly in the learning stage. For the 1-week retention, phonetic cues supported children’s performance on the task of orthography-to-pronunciation associations, whereas semantic cues aided in that of orthography-to-meaning associations. These findings expand our knowledge of children with dyslexia and provide insights for future reading interventions.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
7秒前
陆驳完成签到,获得积分10
8秒前
9秒前
11秒前
18秒前
Nozomi发布了新的文献求助10
22秒前
科目三应助juanjuan采纳,获得10
25秒前
33秒前
FashionBoy应助Nozomi采纳,获得10
33秒前
红毛兔完成签到 ,获得积分10
36秒前
37秒前
Nozomi完成签到,获得积分10
42秒前
45秒前
51秒前
桦奕兮完成签到 ,获得积分10
54秒前
1分钟前
美罗培南完成签到,获得积分10
1分钟前
隐形曼青应助科研通管家采纳,获得10
1分钟前
nicholasgxz应助科研通管家采纳,获得20
1分钟前
1分钟前
1分钟前
anyilin发布了新的文献求助20
2分钟前
华仔应助杜阳辉采纳,获得10
2分钟前
2分钟前
大胆的碧菡完成签到,获得积分10
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
情怀应助科研通管家采纳,获得10
3分钟前
3分钟前
3分钟前
3分钟前
3分钟前
3分钟前
t铁核桃1985完成签到 ,获得积分10
4分钟前
4分钟前
4分钟前
高分求助中
【请各位用户详细阅读此贴后再求助】科研通的精品贴汇总(请勿应助) 10000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Global Eyelash Assessment scale (GEA) 1000
Maritime Applications of Prolonged Casualty Care: Drowning and Hypothermia on an Amphibious Warship 500
Comparison analysis of Apple face ID in iPad Pro 13” with first use of metasurfaces for diffraction vs. iPhone 16 Pro 500
Towards a $2B optical metasurfaces opportunity by 2029: a cornerstone for augmented reality, an incremental innovation for imaging (YINTR24441) 500
Materials for Green Hydrogen Production 2026-2036: Technologies, Players, Forecasts 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4053749
求助须知:如何正确求助?哪些是违规求助? 3591873
关于积分的说明 11413645
捐赠科研通 3318160
什么是DOI,文献DOI怎么找? 1824921
邀请新用户注册赠送积分活动 896270
科研通“疑难数据库(出版商)”最低求助积分说明 817418